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Who Is Reviewing the Latest AI Research? Its AI, Apparently The world’s largest machine-learning and AI conference has been flooded with examples of academics using AI-generated content for their peer reviews, while many papers submitted were also
Major AI Conference Flooded With Peer Reviews Written Fully . . . An analysis of submissions to next year's International Conference on Learning Representations has found that roughly one in five peer reviews were fully generated by AI, a discovery that came after researchers including Carnegie Mellon's Graham Neubig grew suspicious of feedback on their manuscript
Major AI conference flooded with peer reviews written fully . . . The team posted results and a preprint to document their methodology and examples The episode is significant because it’s the first large-scale, quantified instance of LLM-written peer review targeting a flagship ML conference, exposing a trust gap in a process that influences acceptance decisions and reputations
AI floods the peer-review system at major ML conference . . . Peer review is supposed to be the backbone of academic rigor—researchers assess one another’s work before it earns a place at major venues But Panagram, a US-based company that develops tools for detecting AI-generated text, screened all 19,490 papers and 75,800 peer reviews submitted to ICLR and found widespread reliance on language models